我想做一项非常简单的工作：给定一个包含代词的字符串，我想解析它们。
例如，我想把这句话“Mary has a Littlelamb. She is Cute.”在《玛丽有一只小羊羔，玛丽很可爱》中。
我尝试过使用斯坦福 CoreNLP。但是，我似乎无法启动解析器。我已经使用 Eclipse 导入了项目中包含的所有 jar，并且为 JVM 分配了 3GB (-Xmx3g)。
错误非常尴尬：
线程“main”中的异常java.lang.NoSuchMethodError：
edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/LexicalizedParser;
我不明白那个 L 来自哪里，我认为这是我问题的根源......这很奇怪。我试图进入源文件，但那里没有错误的引用。
Code:
import edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation;
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation;
import edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;
import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
import edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.dcoref.CorefChain;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.semgraph.SemanticGraph;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.IntTuple;
import edu.stanford.nlp.util.Pair;
import edu.stanford.nlp.util.Timing;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Properties;
public class Coref {
/**
* @param args the command line arguments
*/
public static void main(String[] args) throws IOException, ClassNotFoundException {
// creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution
Properties props = new Properties();
props.put("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
// read some text in the text variable
String text = "Mary has a little lamb. She is very cute."; // Add your text here!
// create an empty Annotation just with the given text
Annotation document = new Annotation(text);
// run all Annotators on this text
pipeline.annotate(document);
// these are all the sentences in this document
// a CoreMap is essentially a Map that uses class objects as keys and has values with custom types
List<CoreMap> sentences = document.get(SentencesAnnotation.class);
for(CoreMap sentence: sentences) {
// traversing the words in the current sentence
// a CoreLabel is a CoreMap with additional token-specific methods
for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
// this is the text of the token
String word = token.get(TextAnnotation.class);
// this is the POS tag of the token
String pos = token.get(PartOfSpeechAnnotation.class);
// this is the NER label of the token
String ne = token.get(NamedEntityTagAnnotation.class);
}
// this is the parse tree of the current sentence
Tree tree = sentence.get(TreeAnnotation.class);
System.out.println(tree);
// this is the Stanford dependency graph of the current sentence
SemanticGraph dependencies = sentence.get(CollapsedCCProcessedDependenciesAnnotation.class);
}
// This is the coreference link graph
// Each chain stores a set of mentions that link to each other,
// along with a method for getting the most representative mention
// Both sentence and token offsets start at 1!
Map<Integer, CorefChain> graph =
document.get(CorefChainAnnotation.class);
System.out.println(graph);
}
}
完整的堆栈跟踪：
添加注释器 tokenize
添加注释器 ssplit
添加注释器 pos
正在加载 POS 模型 [edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger] ...从经过训练的标记器 edu/stanford/nlp/models/pos-tagger/english 加载默认属性-left3words/english-left3words-distsim.tagger
从 edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger 读取 POS 标注器模型...完成 [2.1 秒]。
完成 [2.2 秒]。
添加注释器引理
添加注释器
从 edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz 加载分类器...完成 [4.0 秒]。
从 edu/stanford/nlp/models/ner/english.muc.distsim.crf.ser.gz 加载分类器...完成 [3.0 秒]。
从 edu/stanford/nlp/models/ner/english.conll.distsim.crf.ser.gz 加载分类器...完成 [3.3 秒]。
添加注释器解析
线程“main”中的异常 java.lang.NoSuchMethodError: edu.stanford.nlp.parser.lexparser.LexicalizedParser.loadModel(Ljava/lang/String;[Ljava/lang/String;)Ledu/stanford/nlp/parser/lexparser/词法化解析器；
在 edu.stanford.nlp.pipeline.ParserAnnotator.loadModel（ParserAnnotator.java:115）
在 edu.stanford.nlp.pipeline.ParserAnnotator。（ParserAnnotator.java:64）
在 edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:603)
在 edu.stanford.nlp.pipeline.StanfordCoreNLP$12.create(StanfordCoreNLP.java:585)
在 edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:62)
在 edu.stanford.nlp.pipeline.StanfordCoreNLP.construct（StanfordCoreNLP.java:329）
在 edu.stanford.nlp.pipeline.StanfordCoreNLP。（StanfordCoreNLP.java:196）
在 edu.stanford.nlp.pipeline.StanfordCoreNLP。（StanfordCoreNLP.java:186）
在 edu.stanford.nlp.pipeline.StanfordCoreNLP。（StanfordCoreNLP.java:178）
在 Coref.main(Coref.java:41)
